References
- Adams, J. A. (2015). Cognitive task analysis for unmanned aerial system design. In K. Valavanis & G. Vachtsevanos (Eds.), Handbook of unmanned aerial vehicles (pp. 2425–2441). Springer.
- Bass, E., Blank, M., Bridewell, J., Dolgov, I., & Smith, P. (2016). UAS human factors control station design standards (plus function allocation, training, visual observer). ASSURE UAS research and development program. Retrieved May 31, 2020, from http://www.assureuas.org/FactorsConsiderationsonHumanprojects/funding/A7UASHumanFactors
- Bell, H. H., Andrews, D. H., & Wulfeck, W. H., II. (2010). Behavioral task analysis. In K. H. Silber & W. R. Foshay (Eds.), Handbook of improving performance in the workplace (Vol. 1: Instructional design and training delivery (pp. 184–226). Pfeiffer.
- Bransford, J. D., & Stein, B. S. (1993). The ideal problem solver: A guide for improving thinking, learning, and creativity (2nd ed.). W.H. Freeman.
- Clark, R. E., & Estes, F. (1996). Cognitive task analysis. International Journal of Educational Research, 25(5), 403–417. https://doi.org/10.1016/S0883-0355(97)81235-9
- Cooke, N. J., Rowe, L. J., Bennett, W., & Joralmon, D. Q. (2016). Remotely piloted aircraft systems (Aerospace series). New York: John Wiley & Sons, Incorporated.
- DeSimone, R. L., Werner, J. M., & Harris, D. M. (2002). Human resource development. Harcourt, Inc.
- Diiulio, J., Militello, L., & Klein, D. (2020). UAS integration in congested terminal airspace: Challenges posed to pilots. Journal of Unmanned Vehicle Systems, 8(2), 1–10. https://doi.org/10.1139/juvs-2019-0015
- Federal Aviation Administration (FAA). (2016). The FAA’s new drone rules are effective today [Press release]. Author. https://www.faa.gov/news/updates/?newsId=86305
- Federal Aviation Administration (FAA). (2020). Airmen certification system active pilots summary. Author. https://registry.faa.gov/activeairmen/M70_Active_Pilots_Summary.pdf
- Federal Aviation Administration Human Factors Toolkit (FAA). (2014, February 15). Cognitive task analysis. Author. http://www.hf.faa.gov/workbenchtools/default.aspx?rPage=TooldetailsandsubCatId=28andtoolID=317
- Feltovich, P., Ford, K., & Hoffman, R. (1997). Expertise in context: Human and machine. AAAI Press; MIT Press.
- Ford, J. K., & Kraiger, K. (1995). The Application of cognitive constructs and principles to the instructional systems model of training: Implications for needs assessment, design, and transfer. In International review of industrial and organizational psychology (Vol. 10, pp. 1–48). John Wiley & Sons, Ltd.
- Goldman Sachs Research. (2017). Technology driving innovation: Drones – Reporting for work. Goldman Sachs. Retrieved June 23, 2020, from http://www.goldmansachs.com/our-thinking/technology-driving-innovation/drones/
- Gore, J., Banks, A. P., & McDowall, A. (2018). Developing cognitive task analysis and the importance of socio-cognitive competence/insight for professional practice. Cognition, Technology and Work, 20(4), 555–563. https://doi.org/10.1007/s10111-018-0502-2
- Gugerty, L., Schifflett, S. G., Elliott, L. R., Salas, E., & Coovert, M. D. (2004). Using cognitive task analysis to design multiple synthetic tasks for uninhabited aerial vehicle operation. In S. G. Schifflett, L. R. Elliott, E. Salas, & M. D. Coovert (Eds.), Scaled worlds: Development, validation, and application (Vol. 1, pp. 240–262). Aldershot, UK: Ashgate Publishing.
- Hoffman, R. R. (2005). Protocols for cognitive task analysis. Defense Technical Information Center. www.dtic.mil/dtic/tr/fulltext/u2/a475456.pdf
- Ison, D. C., Terwilliger, B. A., & Vincenzi, D. A. 2013. Designing simulation to meet UAS training needs. In S. Yamamoto (Ed.), Human interface and the management of information. Information and interaction for health, Safety, mobility and complex environments. HIMI 2013. Lecture Notes in Computer Science (Vol. 8017). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-39215-3_67
- Lercel, D. J., & Hupy, J. P. (2020). Developing a competency learning model for students of unmanned aerial systems. Collegiate Aviation Review International, 38(2), 12–33. Retrieved from http://ojs.library.okstate.edu/osu/index.php/CARI/article/view/8043/7415
- Militello, L. G., & Hutton, R. J. B. (1998). Applied cognitive task analysis (ACTA): A practitioner’s toolkit for understanding cognitive task demands. Ergonomics, 41(11), 1618 ± 1641. https://doi.org/10.1080/001401398186108
- Papautsky, E. L., Dominguez, C., Strouse, R., & Moon, B. (2015, September). Integration of cognitive task analysis and design thinking for autonomous helicopter display. Journal of Cognitive Engineering and Decision Making, 9(4), 283–294. https://doi.org/10.1177/1555343415602624
- Pretz, J. E., Naples, A. J., & Sternberg, R. J. (2003). Recognizing, defining, and representing problems. In D. J. Davidson & R. J. Sternberg (Eds.), The psychology of problem solving (pp. 3–30). Cambridge University Press.
- Schragen, J. M., Chipman, S. F., & Shalin. (2000). Cognitive task analysis. Lawrence Erlbaum Associates.
- Seamster, T. L., Redding, R. E., & Kaempf, G. L. (1997). Applied cognitive task analysis in aviation. Ashgate Publishing.
- Simlat, Inc. (2019). Full crew stand alone training system (C-STAR). Author. Retrieved June 17, 2020, from https://www.simlat.com/products
- Sternberg, R. J., & Sternberg, K. (2009). Cognitive psychology. Wadsworth.
- Teal Group. (2019). 2019 world civil unmanned aerial systems market profile and forecast. Author. Retrieved June 23, 2020, from https://shop.tealgroup.com/products/2019-world-civil-unmanned-aerial-systems-market-profile-forecast
- Wise, J. A., Hopkin, V. D., & Garland, D. J. (Eds.). (2010). Handbook of aviation human factors (2nd edition). CRC Press.
- Yates, K. A., & Feldon, D. F. (2011). Advancing the practice of cognitive task analysis: A call for taxonomic research. Theoretical Issues in Ergonomics Science, 12(6), 472–495. https://doi.org/10.1080/1463922X.2010.505269
- Zachary, W., Hoffman, R., Crandell, B., Miller, T., & Nemeth, C. (2012). Rapidized cognitive task analysis. IEEE Intelligent Systems, 27(2),61–66. https://doi.org/10.1109/MIS.2012.29